Gamers say they feel left behind as the AI-fueled memory shortage leads Nvidia to prioritize Blackwell and Rubin over GeForce gaming GPUs. Nvidia's data center segment now makes up 91.5% of revenue.

ASUS, a global technology leader renowned for its cutting-edge motherboards, PCs, monitors, graphics cards, and servers, ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...

The IBM Server for AI Enterprise combines the benefits of IBM's Power8 CPU with Nvidia's Tesla P100 GPUs. IBM Server for AI Enterprise is designed for "tens of thousands of enterprise workloads," ...

Nvidia’s GeForce RTX 50 series GPUs have been available for well-heeled desktop gamers for a while, but they’re now reaching laptops. That’s important when laptops not only dominate the PC market but ...

Google is challenging Nvidia's dominance by expanding the supply of its own AI chips specialized for AI inference. Google Cloud said on the 6th (local time) that it will officially launch the ...

Nvidia rounded off its RTX 5000-series graphics card lineup recently with the introduction of the entry-level GeForce RTX 5050 GPU for desktops and laptops. It's the least powerful and most affordable ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...